• Francesca Gianni, Mattia Bonzi, Alessandro Jachetti, Monica Solbiati, Giulia Dreon, Giorgio Colombo, Giulia Colombo, Antonio Russo, Ludovico Furlan, Giovanni Casazza, and Giorgio Costantino.
• Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, UOC Pronto Soccorso, Milan, Italy; Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy.
• Eur. J. Intern. Med. 2024 Mar 1; 121: 121126121-126.

BackgroundSyncope can be the presenting symptom of Pulmonary Embolism (PE). It is not known wether using a standardized algorithm to rule-out PE in all patients with syncope admitted to the Emergency Departments (ED) is of value or can lead to overdiagnosis and overtreatment.MethodsWe tested if simple anamnestic and clinical parameters could be used as a rule to identify patients with syncope and PE in a multicenter observational study. The rule's sensitivity was tested on a cohort of patients that presented to the ED for syncopal episodes caused by PE. The clinical impact of the rule was assessed on a population of consecutive patients admitted for syncope in the ED.ResultsPatients were considered rule-positive in the presence of any of the following: hypotension, tachycardia, peripheral oxygen saturation ≤ 93 % (SpO2), chest pain, dyspnea, recent history of prolonged bed rest, clinical signs of deep vein thrombosis, history of previous venous thrombo-embolism and active neoplastic disease. The sensitivity of the rule was 90.3 % (95 % CI: 74.3 % to 98.0 %). The application of the rule to a population of 217 patients with syncope would have led to a 70 % reduction in the number of subjects needing additional diagnostic tests to exclude PE.ConclusionsMost patients with syncope due to PE present with anamnestic and clinical features indicative of PE diagnosis. A clinical decision rule can be used to identify patients who would benefit from further diagnostic tests to exclude PE, while reducing unnecessary exams that could lead to over-testing and over-diagnosis.Copyright © 2023. Published by Elsevier B.V.

17 keywords...

hide…